Laurie Nicol

TLDR: Every potential bid should involve some level of decision analysis. A good bid/no bid decision is not about optimism or intuition. It's a logical process that weighs internal readiness, external competitiveness, company alignment and resource reality. A core part of tendering is realising that not every

TLDR: Tendering workflows are often crippled by fragmented systems and disorganised processes, costing organisations significant resources and diminishing decision-making capacity. Centralised systems are the modern advantage to achieve full pipeline control, more predictable performance and clearer team management. Tendering has long been a complex process featuring fragmented and manual systems.

TLDR: Technology moves faster than culture. Companies with adaptive cultures that seek alignment and continuously integrate new approaches are better equipped to thrive in a disruptive environment. Meanwhile, organisations with fixed mindsets that resist the new get steadily outcompeted and left behind. AI adoption starts with organisational culture. The Fundamental

TLDR: The best time to implement a new AI tool is NOT when you’re mid-submission and looking for a quick fix to make things move faster. Does this sound familiar?  Mid-tender deadline pressure → Scroll linkedIn and find the newest AI tender tool → Try implementing while writing responses → Abandon tool

A question we're hearing a lot in Tendering recently is “How can we reuse our templates more effectively?”  The answer lies in shifting from static templating to dynamic resource libraries.  The Difference Between Static Templates and Dynamic Libraries Static approach: Find template → Copy content → Spend hours adapting → Submit